xxxxxxxxxx### Hands-on Lab: Creating a Watson Studio Project with Jupyter Notebooks### Hands-on Lab: Creating a Watson Studio Project with Jupyter Notebooks**Duration: 20 mins**### ObjectiveAfter completing this lab, you will be able to-* Setup Watson Studio service on IBM Cloud * Create project in Watson Studio* Add an interactive Python notebook to a project in Watson StudioYou will then proceed to next part of this lab instructions which will guide you on how to work with Jupyter Notebooks.### Pre-requisiteYou need an IBM Cloud account to work with Jupyter labs in Watson Studio. If you don\'t have an account created already, click and open this [link](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-CC0100EN-SkillsNetwork/labs/IBMCloud_accountCreation/CreateIBMCloudAccount.md.html) and follow the instructions, to create an IBM Cloud account.#### Task 1: For New Users (with no Watson service):*If you have created a Watson service before, proceed to to Task 2:*1. [Click here](https://cloud.ibm.com/catalog/services/watson-studio?utm_source=skills_network&utm_content=in_lab_content_link&utm_id=Lab-IBMDeveloperSkillsNetwork-RP0101EN-Coursera) to go to the IBM Cloud Watson Studio page.2. To create a Watson service, choose a region that offers Lite plan, then choose the Lite plan from the list and click **Create**. In the image below, the **Lite** plan is chosen for "Dallas" region. <img src="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/YX6mlajTaGz3tcNV2jSXTA/05-Watson-Studio-Lite-sign-up.png" width="80%" and height="auto"><br> </br>3. On the Watson Studio page, click on **Launch in IBM Cloud Pak for Data**.<img src="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/U1FqB2Oo-fes2QcFcTSloQ/06-Watson-Studio-Lite-launch-data-pack.png" width="80%" and height="auto"><br>#### Task 2: For Existing Users (who already have Watson Service):1. Go to the IBM Resources List [Resources List](https://cloud.ibm.com/resources?utm_source=skills_network&utm_content=in_lab_content_link&utm_id=Lab-v2%2FM5_Final%2Flab1-iframe-watson-studio-r_v1_1726720556)2. When you click on Services, all your existing services will be shown in the list. Click the **Watson Studio** service you created:<img src="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/9clO0eKLdnHohAowYvWcSw/07-Watson-Studio-Lite-resource-list.png" width="80%" and height="auto"><br></br>3. On the Watson Studio page, click on **Launch in IBM Cloud Pak for Data**.<img src="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/U1FqB2Oo-fes2QcFcTSloQ/06-Watson-Studio-Lite-launch-data-pack.png" width="80%" and height="auto">#### Task 3: Creating a new project1. Select **New Project** and click on **Next**.<img src="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/Wbp4PwRV2Dj71OJhuBGyrw/08-Watson-Studio-Lite-create-project.png" width="80%" and height="auto"><br></br>2. On the Create project page, enter **Project Name** and **Description**. <img src="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/rF-Wk6N70kDbMBvWyIxybA/09-Watson-Studio-Lite-create-project1.png" width="80%" and height="auto"><br></br>3. You must create a storage cloud service for each project. Scroll down and click on **Add** under **Define Storage** to add a storage. > Note: If you already have a Cloud Object Storage created in your IBM cloud account (as seen in the screenshot of previous step), then you can skip Step 3, Step 4 and Step 5.<img src="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/gYzzIfyWUkmCDyBSUJSx0Q/09-Watson-Studio-Lite-create-project2.png" width="80%" and height="auto"><br></br>4. On the Cloud Object Storage page, choose **Lite** and click on **Create**.<img src="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/hx0Ux4DcNbaI0WGxdLM2Jw/09-Watson-Studio-Lite-create-project3.png" width="80%" and height="auto"><br></br>5. On the Create project page, click **Refresh**. <img src="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/YFi8b_BMd9eZXte3F6fQJw/09-Watson-Studio-Lite-create-project4.png" width="80%" and height="auto"><br></br>6. You will see that a new storage has been added. Now click **Create** to create a new project.<img src="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/YR1fwIbqp74RFx7mjcwz_A/09-Watson-Studio-Lite-create-project5.png" width="80%" and height="auto"><br></br>6. After creating the project you can start with either a new blank project or select a file from an existing project to import.<br></br>#### Task 4: Adding Jupyter Notebook to Watson Studio Project1. On the project **Overview** page, you will notice several options to get started with the project. Click on **Work with data and models in Python or R Notebooks**.<img src="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/aDHqniBGLk3doDfBLyX8qQ/09-Watson-Studio-Lite-create-project6.png" width="80%" and height="auto">**OR**<br></br>Alernatively, you can click on **Assets** tab and then click **New asset**. Now click on **Work with data and models in Python or R Notebooks**.<img src="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/LBcCGCidQJ7CmjoYNlQv6w/09-Watson-Studio-Lite-create-project7B.png" width="80%" and height="auto"><br></br>2. On the **Work with data and models in Python or R Notebooks** page- Select **New** to add a blank new Jupyter notebook to your project- Enter a name and optional description for the notebook - Specify the language as **Python** or **R** depending on the type of environment you are working for your project. In this lab, we are choosing the Runtime as **Python**.- Click **Create**.<img src="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/19dVpzfpw3JhxlRQGo94fg/09-Watson-Studio-Lite-create-project9.png" width="80%" and height="auto"><br></br>- Wait until the notebook appears. It will take few mins to initate Jupyter kernel.- Now you are ready to code with a new blank Jupter Notebook. You can observe that a blank cell (rendered as \'Code\' ) is already added. <img src="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/Mmh9Ibpyrc3Zi9ehAHNNMA/09-Watson-Studio-Lite-create-project10.png" width="80%" and height="auto">This concludes this tutorial.## Author(s)<h4> Romeo <h4/><!--## Changelog| Date | Version | Changed by | Change Description ||------|--------|--------|---------|| 2024-07-16 | 1.0 | Shilpa Giridhar |Updated the content as per changes in IBM Cloud website | | 2022-12-19 | 2.3 | Anita Verma | Updated Screenshots and instructions || 2022-04-04 | 2.2 | Malika | Updated Screenshots || 2021-10-11 | 2.1 | Malika | Updated IBM account creation || 2020-08-25 | 2.0 | Migrated Lab to Markdown and added to course repo in GitLab | ## <h3 align="center"> © IBM Corporation. All rights reserved. <h3/>--> Duration: 20 mins
After completing this lab, you will be able to-
You will then proceed to next part of this lab instructions which will guide you on how to work with Jupyter Notebooks.
You need an IBM Cloud account to work with Jupyter labs in Watson Studio. If you don't have an account created already, click and open this link and follow the instructions, to create an IBM Cloud account.
If you have created a Watson service before, proceed to to Task 2:
Click here to go to the IBM Cloud Watson Studio page.
To create a Watson service, choose a region that offers Lite plan, then choose the Lite plan from the list and click Create. In the image below, the Lite plan is chosen for “Dallas” region.
Go to the IBM Resources List
When you click on Services, all your existing services will be shown in the list. Click the Watson Studio service you created:
Note: If you already have a Cloud Object Storage created in your IBM cloud account (as seen in the screenshot of previous step), then you can skip Step 3, Step 4 and Step 5.
